Resource Management in Cloud Radio Access Network: Conventional and New Approaches

Area of Science:

• Telecommunications Engineering
• Wireless Sensor Networks
• Network Resource Management

Background:

• Cloud Radio Access Network (C-RAN) offers energy efficiency and cost reduction for mobile wireless sensor networks, crucial for Internet of Things (IoT).
• Efficient resource utilization in dynamic C-RAN environments remains a significant challenge despite its benefits.

Purpose of the Study:

• To conduct a comprehensive survey of recent resource management techniques in C-RAN.
• To categorize and analyze computational resource management (CRM) and radio resource management (RRM) strategies.
• To highlight challenges and open research issues for future C-RAN development.

Main Methods:

• Categorization of resource management techniques into Computational Resource Management (CRM) and Radio Resource Management (RRM).
• In-depth analysis of CRM techniques, particularly Remote Radio Head (RRH) clustering schemes.
• Critical evaluation of investigated performance metrics and their validation methods.

Main Results:

• Identified and classified various CRM and RRM strategies employed in C-RAN.
• Provided an extensive discussion on RRH clustering schemes within CRM.
• Critically analyzed the performance metrics and validation techniques used in existing studies.

Conclusions:

• The study offers a structured overview of current C-RAN resource management techniques.
• It pinpoints key challenges and outlines promising avenues for future research in efficient C-RAN resource allocation.